Trenary
Shane Trenary, Springfield, OR US
Patent application number | Description | Published |
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20110080477 | METHOD FOR INTELLIGENT SCANNING USING A TOTAL STATION - System and method for scanning an object using a surveying instrument is provided. The method includes designating an area associated with an object to be scanned. Defining one or more sections within the area associated with the object. Scanning a portion of the area associated with the object corresponding to a first section of the area associated with the object and designating one or more sections adjacent to the first section if scan results indicate presence of an object. Designating one or more sections adjacent to the first section for not scanning if the scan results of the portion of the area associated with the object corresponding to the first section do not indicate presence of an object. A remote control device is provided that can control the surveying instrument, receive the scan results, and analyze the scan results for subsequent use. | 04-07-2011 |
Timothy James Trenary, Fort Collins, CO US
Patent application number | Description | Published |
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20080212885 | SCALING DOWN OF DATA - The scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved. In addition, the de-quantization of the quantized transform coefficients may be accomplished by pre-multiplication of the selected constants when the quantization values are known. In a similar way the re-quantization may be accomplished by a pre-division of the selected constants. Both de-quantization and re-quantization may be combined when the input quantized transform coefficients and output quantized transform coefficients are desired. | 09-04-2008 |
20090060358 | SYSTEM AND COMPUTER READABLE MEDIUM FOR THE SCALING DOWN OF DATA - The scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved. In addition, the de-quantization of the quantized transform coefficients may be accomplished by pre-multiplication of the selected constants when the quantization values are known. In a similar way the re-quantization may be accomplished by a pre-division of the selected constants. Both de-quantization and re-quantization may be combined when the input quantized transform coefficients and output quantized transform coefficients are desired. | 03-05-2009 |
Timothy James Trenary, Bethoud, CO US
Patent application number | Description | Published |
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20080273814 | SCALING OF MULTI-DIMENSIONAL DATA IN A HYBRID DOMAIN - At least a system and data structure for the scaling of data is provided. An exemplary use of the disclosed embodiments involves the scaling up in size or the scaling down in size of computer images. n-dimensional transformed data representing some original n-dimensional real data is received. An m-dimensional inverse transform on the n-dimensional transformed data is performed to produce hybrid data, where 1≦m11-06-2008 | |